Suppr超能文献

西班牙版雷伊听觉词语学习测验及中年成年人相关长期遗忘测量的效度验证与常模数据

Validation and Normative Data of the Spanish Version of the Rey Auditory Verbal Learning Test and Associated Long-Term Forgetting Measures in Middle-Aged Adults.

作者信息

Alviarez-Schulze Vanessa, Cattaneo Gabriele, Pachón-García Catherine, Solana-Sánchez Javier, Tormos Josep M, Pascual-Leone Alvaro, Bartrés-Faz David

机构信息

Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.

Departament de Medicina, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.

出版信息

Front Aging Neurosci. 2022 Feb 9;14:809019. doi: 10.3389/fnagi.2022.809019. eCollection 2022.

Abstract

Rey Auditory Verbal Learning Test (RAVLT) is an episodic memory helpful measure to detect changes associated with abnormal aging. There is a lack of RAVLT validation and normalization studies in Spain. The aim was to determine its psychometric properties and explore long-term forgetting (LTF) performance through 1-week delayed recall under three different modes of administration. The RAVLT was administered to 602 cognitively healthy volunteers, aged between 41 and 65 years, of whom 251 completed the LTF assessment. Findings reveal a factorial structure of four components, with satisfactory goodness of fit, and adequate convergent and divergent validity. We also demonstrated the differential effect of three methodologies used in LTF assessment, supporting that test expectancy positively influences long-term storage. Finally, normative data were generated according to age, sex, and education. The test, including the LTF measure, is a promising tool to estimate memory in middle-aged adults and develop predictive brain aging models.

摘要

雷伊听觉词语学习测验(RAVLT)是一种用于检测与异常衰老相关变化的情景记忆辅助测量方法。西班牙缺乏对RAVLT的验证和标准化研究。目的是确定其心理测量特性,并通过在三种不同施测模式下进行1周延迟回忆来探索长期遗忘(LTF)表现。对602名年龄在41至65岁之间的认知健康志愿者进行了RAVLT测验,其中251人完成了LTF评估。研究结果揭示了一个由四个成分组成的因子结构,拟合优度良好,具有足够的收敛效度和区分效度。我们还证明了LTF评估中使用的三种方法的差异效应,支持了测验预期对长期存储有积极影响。最后,根据年龄、性别和教育程度生成了常模数据。该测验,包括LTF测量,是评估中年成年人记忆和开发预测性脑衰老模型的一个有前景的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e90/8865334/32478d737a72/fnagi-14-809019-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验